Determination of Optimum Parameter Space of a Fluidic Thrust Vectoring System based on Coanda Effect Using Gradient-Based Optimization Technique

Document Type : Regular Article

Authors

1 Gaziantep University, Aerospace Engineering Department, Gaziantep, 27310, Turkey

2 METU, Aerospace Engineering Department, Ankara, 06800, Turkey

10.47176/jafm.16.10.1855

Abstract

In the realm of aviation, jet propulsion systems serve to provide enhanced maneuverability and to make sure that the aircraft thrust is accurately and precisely regulated during take-off and landing operations. The movement of aerodynamic control surfaces (flaps, slats, elevators, ailerons, spoilers, wing attachments) determines the mobility of practically all aircraft types. Recognized as dependable components in the aviation world for take-off and landing tasks, these control surfaces are being replaced by fluidic thrust vectoring (FTV) systems, especially in small unmanned aerial vehicles (UAVs) and short or vertical take-off and landing aircraft. The FTV system is capable of directing thrust in any preferred direction without the need for any movable components. This paper numerically examines the FTV system by utilizing computational fluid dynamics (CFD) and an optimization technique based on gradients of the system components to understand the physics of the Coanda effect in FTV systems. This research employs gradient-based optimization for nozzle design in order to optimize the parameter space for different velocity ratios (VR) by calculating the moment around the upper Coanda surface, which is used to represent the jet deflection angle. In that context, four different Coanda surface-pintle pair designs for four different VRs are produced. The parameter space shows significant improvement in all four configurations, and results reveal that all output parameters successfully delay separation on the thrust vectoring system's upper Coanda surface. Finally, four optimum design suggestions are tested at various VRs, and the most efficient and proper design is recommended based on output parameters.

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Main Subjects


ANSYS Fluent User’s Guide. (2022). http://www.ansys.com##
Banazadeh, A., & Saghafi, F. (2017). An investigation of empirical formulation and design optimisation of co-flow fluidic thrust vectoring nozzles. The Aeronautical Journal, 121(1236), 213–236. https://doi.org/10.1017/aer.2016.110##
Cen, Z., Smith, T., Stewart, P., & Stewart, J. (2015). Integrated flight/thrust vectoring control for jet-powered unmanned aerial vehicles with ACHEON propulsion. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 229(6), 1057–1075. https://doi.org/10.1177/0954410014544179##
Das, S. S., Páscoa, J. C., Trancossi, M., & Dumas, A. (2016). Computational fluid dynamic study on a novel propulsive system: ACHEON and its integration with an unmanned aerial vehicle (UAV). Journal of Aerospace Engineering, 29(1), 04015015. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000498##
El Halal, Y., Marques, C. H., Rocha, L. A., Isoldi, L. A., Lemos, R. D. L., Fragassa, C., & Dos Santos, E. D. (2019). Numerical study of turbulent air and water flows in a nozzle based on the Coanda effect. Journal of Marine Science and Engineering, 7(2), 21, 1–13. https://doi.org/10.3390/jmse7020021##
Jain, S., Roy, S., Gupta, D., Kumar, V., & Kumar, N. (2015). Study on fluidic thrust vectoring techniques for application in V/STOL aircrafts. SAE Technical Paper, No. 2015–01–2423. https://doi.org/10.4271/2015-01-2423##
Juvet, P. (1994). Control of high Reynolds number round jets. (Publication No. 9414588). [Doctoral dissertation, Stanford University]. ProQuest Dissertations and Theses Global.##
Kara, E., & Erpulat, H. (2021). Experimental investigation and numerical verification of Coanda effect on curved surfaces using co-flow thrust vectoring. International Advanced Researches and Engineering Journal 5 (1), 72–78. https://doi.org/10.35860/iarej.758397##
Menter, F. R., Sechner, R., & Matyushenko, A. (2019). Best practice: generalized k-ω two-equation turbulence model in ANSYS CFD (GEKO). https://fluidcodes.com/wpcontent/uploads/2020/06/geko-tp-1.pdf##
Menter, F. R., Sechner, R., & Matyushenko, A. (2021). Best practice: RANS turbulence modelling in ANSYS CFD. https://www.ansys.com/content/dam/amp/2022/march/quickrequest/Best%20Practice%20RANS%20Turbulence%20Modeling%20in%20Ansys%20CFD.pdf##
Newman, B. G. (1961). The deflexion of plane jet by adjacent boundaries coanda effect. In C. Maykel & M. A. Bray (Eds.), Boundary layer and flow control Vol. 1 (pp. 232–264). Pergamon Press. https://www.sciencedirect.com/book/9781483213231/boundary-layer-and-flow-control##
Panneer, M., & Thiyagu, R. (2020). Design and analysis of Coanda effect nozzle with two independent streams. International Journal of Ambient Energy, 41(8), 851–860. https://doi.org/10.1080/01430750.2018.1480524##
Roache, P. J. (1994). Perspective: a method for uniform reporting of grid refinement studies. ASME Journal of Fluids Engineering, 116(3), 405–13. https://doi.org/10.1115/1.2910291##
Sidiropoulos, V., & Vlachopoulos, J. (2000). An investigation of Venturi and Coanda effects in blown film cooling. International Polymer Processing, 15(1), 40–45. https://doi.org/10.3139/217.1575##
Springer, A. M. (2008, January 7-10). 50 Years of NASA Aeronautics Achievements [Conference session]. 46. AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, United States. https://doi.org/10.2514/6.2008-859##
Subhash, M., & Dumas, A. (2013). Computational study of Coanda adhesion over curved surface. SAE International Journal of Aerospace, 6(1), 260. https://doi.org/10.4271/2013-01-2302##
Trancossi, M., & Dumas, A. (2011). ACHEON: Aerial coanda high efficiency orienting-jet nozzle. SAE Technical Paper, No. 2011–01–2737. https://doi.org/10.4271/2011-01-2737##
Trancossi, M., Dumas, A., Das, S. S., & Pascoa, J. (2014). Design methods of Coanda effect nozzle with two streams. Incas Bulletin, 6(1), 83–95.  https://doi.org/10.13111/2066-8201.2014.6.1.8##
Trancossi, M., Dumas, A., Giuliani, I., & Baffigi I. (2011). Nozzle capable of deviating a synthetic jet in adynamic and controllable manner with nomoving mechanical parts and a control system thereof. Patent No. RE2011A000049, Italy. https://patentscope.wipo.int/search/en/detail.jsf?docId=IT231131498&_cid=P22-LI8YNL-59892-1##
Trancossi, M., Madonia, M., Dumas, A., Angeli, D., C. Bingham, Das, S. S., Grimaccia, F., Marques, J. P., Porreca, E., Smith, T., Stewart, P., Subhash, M., Sunol, A., & Vucinic, D. (2016a). A new aircraft architecture based on the ACHEON Coanda effect nozzle: flight model and energy evaluation. European Transport Research Review, 8(2), 1–21. https://doi.org/10.1007/s12544-016-0198-4##
Trancossi, M., Stewart, J., Maharshi, S., & Angeli, D. (2016b). Mathematical model of a constructal Coanda effect nozzle. Journal of Applied Fluid Mechanics, 9(6), 2813–2822. https://doi.org/10.29252/jafm.09.06.23508##
Warsop, C., Crowther, W. & Forster, M. (2019, January 7-11). NATO AVT-239 Task Group: Supercritical Coanda based circulation control and fluidic thrust vectoring [Conference session]. AIAA Scitech 2019, San Diego, California, United States.  https://doi.org/10.2514/6.2019-0044##
Wu, K., Zhang, G., Kim, T. H., & Kim, H. D. (2020). Numerical parametric study on three-dimensional rectangular counter-flow thrust vectoring control. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 234(16), 2221–2247. https://doi.org/10.1177/0954410020925602##
Yahaghi, A. (2011). Computational study of fluidic thrust vectoring using shock vector and separation control. [Master’s thesis, San Jose State University]. California, United States. https://www-old.sjsu.edu/ae/docs/project-thesis/Amir%20Yahaghi-converted.pdf##